控制理论(社会学)
电流(流体)
模型预测控制
灵敏度(控制系统)
电压
同步电动机
永磁同步电动机
计算机科学
工程类
控制(管理)
磁铁
电子工程
机械工程
电气工程
人工智能
作者
Xiaoguang Zhang,Chenguang Zhang,Ziwei Wang,José Rodríguez
出处
期刊:IEEE Transactions on Industrial Electronics
[Institute of Electrical and Electronics Engineers]
日期:2024-06-01
卷期号:71 (6): 5443-5452
标识
DOI:10.1109/tie.2023.3292874
摘要
Conventional model predictive current control (MPCC) has superiorities on simple control structure, fast dynamic response time, and easy implementation. However, MPCC applied to permanent magnet synchronous motor has strong sensitivity to motor parameters, and incorrect model parameters will affect the control performance. Aiming to reduce the parameter sensitivity of MPCC, a motor-parameter-free MPCC (MPF-MPCC) method is proposed in this article, which is different from model-free predictive current control method where a look-up table or ultralocal model is used. In MPF-MPCC method, a current prediction model without any motor parameters is constructed and it only contains current difference and voltage difference. Besides, the effect of current difference and voltage difference on the current variation is analyzed. Then, a balance factor is designed to balance the effects of two components in the constructed current prediction model considering that the current difference and voltage difference have different dimensions. Finally, experiments demonstrate the effectiveness of the proposed method.
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